Multifractal vector fields and stochastic Clifford algebra
Résumé
In the mid 1980s, the development of multifractal concepts and techniques was an important
breakthrough for complex system analysis and simulation, in particular, in turbulence and
hydrology. Multifractals indeed aimed to track and simulate the scaling singularities of the
underlying equations instead of relying on numerical, scale truncated simulations or on simplified
conceptual models. However, this development has been rather limited to deal with scalar fields,
whereas most of the fields of interest are vector-valued or even manifold-valued. We show in this
paper that the combination of stable Levy processes with Clifford algebra is a good candidate to
bridge up the present gap between theory and applications. We show that it indeed defines a convenient
framework to generate multifractal vector fields, possibly multifractal manifold-valued
fields, based on a few fundamental and complementary properties of Levy processes and Clifford
algebra. In particular, the vector structure of these algebra is much more tractable than the manifold
structure of symmetry groups while the Levy stability grants a given statistical universality
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